Agent-Based Simulation of Local Soy Value Chains in Ghana

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The assessment of changes in the relationships between supply chain agents is considered fundamental for market transformation. This paper reports on the application of a Value Chain Lab that supports the measurement of behavioral change in vertically structured supply-chain relationships. A participative gaming approach is used that enables to identify changes in mutual trust, transaction costs and risk behavior that result from value chain support and co-operation. The Value Chain Lab comprises value chain analysis, value chain games and multi-agent simulation. The paper describes the multi-agent simulation of a soy value chain in northern Ghana. The research was conducted in the context of the 2SCALE program, aiming to improve rural livelihoods and food and nutrition security in a number of African countries by developing agricultural supply chains including local smallholder farmers. The study confirms the positive effects of trust and loyalty in value chain relationships. Furthermore, it demonstrates the usefulness of agent-based simulations for exploring potential consequences of alternative interventions.
Original languageEnglish
Title of host publicationProgress in Artificial Intelligence
Subtitle of host publication19th EPIA Conference on Artificial Intelligence, EPIA 2019, Vila Real, Portugal, September 3–6, 2019, Proceedings, Part II
EditorsP. Moura Oliveira, P. Novais, L. Paulo Reis
PublisherSpringer
Chapter54
Pages654-666
ISBN (Electronic)9783030302443
ISBN (Print)9783030302436
DOIs
Publication statusPublished - 30 Aug 2019
Event19th EPIA Conference on Artificial Intelligence (2019) - Vila Real, Portugal
Duration: 3 Sep 20196 Sep 2019
Conference number: 19

Publication series

NameProgress in Artificial Intelligence
Volume11805
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th EPIA Conference on Artificial Intelligence (2019)
Abbreviated titleEPIA 2019
CountryPortugal
CityVila Real
Period3/09/196/09/19

Fingerprint

Ghana
supply chain
risk behavior
livelihood
nutrition
farmers
markets

Cite this

Verwaart, T., Dijkxhoorn, Y., Plaisier, C., & Van Wagenberg, C. (2019). Agent-Based Simulation of Local Soy Value Chains in Ghana. In P. Moura Oliveira, P. Novais, & L. Paulo Reis (Eds.), Progress in Artificial Intelligence: 19th EPIA Conference on Artificial Intelligence, EPIA 2019, Vila Real, Portugal, September 3–6, 2019, Proceedings, Part II (pp. 654-666). (Progress in Artificial Intelligence; Vol. 11805). Springer. https://doi.org/10.1007/978-3-030-30244-3_54
Verwaart, Tim ; Dijkxhoorn, Youri ; Plaisier, Christine ; Van Wagenberg, Coen. / Agent-Based Simulation of Local Soy Value Chains in Ghana. Progress in Artificial Intelligence: 19th EPIA Conference on Artificial Intelligence, EPIA 2019, Vila Real, Portugal, September 3–6, 2019, Proceedings, Part II. editor / P. Moura Oliveira ; P. Novais ; L. Paulo Reis. Springer, 2019. pp. 654-666 (Progress in Artificial Intelligence).
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Verwaart, T, Dijkxhoorn, Y, Plaisier, C & Van Wagenberg, C 2019, Agent-Based Simulation of Local Soy Value Chains in Ghana. in P Moura Oliveira, P Novais & L Paulo Reis (eds), Progress in Artificial Intelligence: 19th EPIA Conference on Artificial Intelligence, EPIA 2019, Vila Real, Portugal, September 3–6, 2019, Proceedings, Part II. Progress in Artificial Intelligence, vol. 11805, Springer, pp. 654-666, 19th EPIA Conference on Artificial Intelligence (2019), Vila Real, Portugal, 3/09/19. https://doi.org/10.1007/978-3-030-30244-3_54

Agent-Based Simulation of Local Soy Value Chains in Ghana. / Verwaart, Tim; Dijkxhoorn, Youri; Plaisier, Christine; Van Wagenberg, Coen.

Progress in Artificial Intelligence: 19th EPIA Conference on Artificial Intelligence, EPIA 2019, Vila Real, Portugal, September 3–6, 2019, Proceedings, Part II. ed. / P. Moura Oliveira; P. Novais; L. Paulo Reis. Springer, 2019. p. 654-666 (Progress in Artificial Intelligence; Vol. 11805).

Research output: Chapter in Book/Report/Conference proceedingChapter

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AB - The assessment of changes in the relationships between supply chain agents is considered fundamental for market transformation. This paper reports on the application of a Value Chain Lab that supports the measurement of behavioral change in vertically structured supply-chain relationships. A participative gaming approach is used that enables to identify changes in mutual trust, transaction costs and risk behavior that result from value chain support and co-operation. The Value Chain Lab comprises value chain analysis, value chain games and multi-agent simulation. The paper describes the multi-agent simulation of a soy value chain in northern Ghana. The research was conducted in the context of the 2SCALE program, aiming to improve rural livelihoods and food and nutrition security in a number of African countries by developing agricultural supply chains including local smallholder farmers. The study confirms the positive effects of trust and loyalty in value chain relationships. Furthermore, it demonstrates the usefulness of agent-based simulations for exploring potential consequences of alternative interventions.

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Verwaart T, Dijkxhoorn Y, Plaisier C, Van Wagenberg C. Agent-Based Simulation of Local Soy Value Chains in Ghana. In Moura Oliveira P, Novais P, Paulo Reis L, editors, Progress in Artificial Intelligence: 19th EPIA Conference on Artificial Intelligence, EPIA 2019, Vila Real, Portugal, September 3–6, 2019, Proceedings, Part II. Springer. 2019. p. 654-666. (Progress in Artificial Intelligence). https://doi.org/10.1007/978-3-030-30244-3_54